基于HHT-SVR模型的汇率数据去噪与预测, 数理统计与管理, 2015, 34(5): 900-909

ZipCode:52c9ab2533ce514a1a885e74a1342fc6b73de36e785baa3e07cdd5a7b1234d742197243126974fa2d7f664ed7d2e5a67cbd4c522a53cdf7d80ceb39928c7039b528bb15c9ba80a39ab0e149f9b2e9c09f59aa8081c897dd70ff6d191397c82f7cd3a3befe211634c0cd859c7c66d7460ad307de7bcbf3431ed677f37d4784f77

PostalAddress:bd490793d54870d21026fea145dd6ac0d0f3afa4397a22f3d3a448d37e92a92e90654fc9181e9585292ca5b3e1e0725d104b1305455ea28fe28b0a4aea52f69751c32e0be0cb5447a6fa978f45a8a388a7f7cb9f886df9d5d81f2269200799830a778dbac2dbe5a1e63c012bcb46d66656bb094ca33bb77dba21d98bd385c3a8

OfficePhone:6a78d157afb5c259c6698d556be548ded472b29b079ecafa672362d8e71060e1a72960dcad8abe60b2e8a1c7e4a96520a7728fd803f7b913721d9c184ea3a5860a2241222c459c4d42548e7c2ee27518acce7b9c6f6bd401189dfae69f394f2e4754d881b22525dfd747d045d95deae9763ecbadcaf205277edcfe484d7745c7

Email:5fb9f8e2d8fd049ee99a71548c4be43bab17c4b3d8e20c13f78e74c06eed909d0e36a0d613957e56058c3b2c5bcd18c6927523d4acb54215a2fbc1b3d2272069d4c22c14db41250280c3e5bb1c17a2002a1cfbdb5996ac9672499460e3b8d825e69f5749673dd3c615591d20b4d547df6014e94e74275936280e36060d29a9f3